A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays

Lakshmanan, S, Park, Ju H., Jung, H. Y., Kwon, O. M. and Rakkiyappan, R. 2013, A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays, Neurocomputing, vol. 111, pp. 81-89, doi: 10.1016/j.neucom.2012.12.016.

Attached Files
Name Description MIMEType Size Downloads

Title A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays
Author(s) Lakshmanan, SORCID iD for Lakshmanan, S orcid.org/0000-0002-4622-3782
Park, Ju H.
Jung, H. Y.
Kwon, O. M.
Rakkiyappan, R.
Journal name Neurocomputing
Volume number 111
Start page 81
End page 89
Total pages 9
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2013-07
ISSN 0925-2312
1872-8286
Keyword(s) Neural networks
Delay partitioning approach
Stability
Neutral delay
Language eng
DOI 10.1016/j.neucom.2012.12.016
Field of Research 08 Information And Computing Sciences
09 Engineering
17 Psychology And Cognitive Sciences
Socio Economic Objective 0 Not Applicable
Copyright notice ©2013, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30077165

Document type: Journal Article
Collections: School of Information Technology
Elements - New records (hidden)
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 58 times in TR Web of Science
Scopus Citation Count Cited 59 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 9 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 27 Aug 2015, 15:06:20 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.